Research Article
TV White Space Channel Allocation with Simulated Annealing as Meta Algorithm
@INPROCEEDINGS{10.4108/icst.crowncom.2012.248570, author={Bo Ye and Maziar Nekovee and Anjum Pervez and Mohammad Ghavami}, title={TV White Space Channel Allocation with Simulated Annealing as Meta Algorithm}, proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2012}, month={7}, keywords={simulated annealing hyper-heuristics algorithm channel allocation tv white space}, doi={10.4108/icst.crowncom.2012.248570} }- Bo Ye
Maziar Nekovee
Anjum Pervez
Mohammad Ghavami
Year: 2012
TV White Space Channel Allocation with Simulated Annealing as Meta Algorithm
CROWNCOM
IEEE
DOI: 10.4108/icst.crowncom.2012.248570
Abstract
When developing a TV White Space (TVWS) system with the available TV spectrum after digital switchover, channel allocation for TVWS devices to avoid interference becomes one of the most challenging problems. In this paper, Simulated Annealing (SA) is applied to solve the problem to minimize the total interference. However, the performance of SA applied to the problem depends on the appropriate choice of several key parameters. Hence, all parameters are listed and experiments with all possible combinations are done and the parameters that perform best are chosen manually. Manual selection requires a lot of experiments and is not effective. Therefore, an algorithm using SA as meta algorithm is proposed to choose the parameters automatically for SA. Finally the result of parameters selected automatically is compared with the result of those selected manually. We will show that automatic selection performs better compared with manual selection.
